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Diffusion tensor imaging (DTI) has provided great insights into the microstructural features of the developing brain. However, DTI images are prone to several artifacts and the reliability of DTI scalars is of paramount importance for interpreting and generalizing the findings of DTI studies, especially in the younger population. In this study, we investigated the intrascan test-retest repeatability of four DTI scalars: fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) in 5-year-old children (N = 67) with two different data preprocessing approaches: a volume censoring pipeline and an outlier replacement pipeline. We applied a region of interest (ROI) and a voxelwise analysis after careful quality control, tensor fitting and tract-based spatial statistics. The data had three subsets and each subset included 31, 32, or 33 directions thus a total of 96 unique uniformly distributed diffusion encoding directions per subject. The repeatability of DTI scalars was evaluated with intraclass correlation coefficient (ICC(3,1)) and the variability between test and retest subsets. The results of both pipelines yielded good to excellent (ICC(3,1) > 0.75) reliability for most of the ROIs and an overall low variability (<10%). In the voxelwise analysis, FA and RD had higher ICC(3,1) values compared to AD and MD and the variability remained low (<12%) across all scalars. Our results suggest high intrascan repeatability in pediatric DTI and lend confidence to the use of the data in future cross-sectional and longitudinal studies.
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http://dx.doi.org/10.1002/hbm.26064 | DOI Listing |
Imaging Neurosci (Camb)
November 2024
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Anatomical magnetic resonance imaging (MRI) templates of the brain are essentialto group-level analyses and image processing pipelines, as they provide areference space for spatial normalisation. While it has become common forstudies to acquire multimodal MRI data, many templates are still limited to onetype of modality, usually either scalar or tensor based. Aligning each modalityin isolation does not take full advantage of the available complementaryinformation, such as strong contrast between tissue types in structural images,or axonal organisation in the white matter in diffusion tensor images.
View Article and Find Full Text PDFPLoS One
June 2025
Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, Georgia, United States of America.
Registering infant brain images is challenging, as the infant brain undergoes rapid changes in size, shape and tissue contrast in the first months of life. Diffusion tensor images (DTI) have relatively consistent tissue properties over the course of infancy compared to commonly used T1 or T2-weighted images, presenting great potential for infant brain registration. Moreover, groupwise registration using intermediate templates can reduce deformation and bias introduced by predefined atlases, but most methods use scalar (e.
View Article and Find Full Text PDFDysphagia
May 2025
Department of Special Education and Communication Disorders, University of Nebraska-Lincoln, Lincoln, NE, USA.
White matter (WM) enables complex brain connectivity by linking several cortical and subcortical regions. Most studies investigating the association between WM tracts and swallowing function have predominantly used a disease (lesion) based approach, and there is currently a paucity of research investigating the associations between swallowing physiology and WM microstructure in healthy individuals. Moreover, studies in healthy individuals are essential to understanding typical WM architecture and identifying any deviations caused by diseases or adaptations resulting from specific interventions or training regimes.
View Article and Find Full Text PDFNMR Biomed
June 2025
Department of Radiology, University of California, San Diego, California, USA.
The purpose of this exploratory study was to quantify the relationship between scalar-based measures of diffusion tensor imaging (DTI) and histologically derived microstructural measurements in precisely colocalized rat rotator cuff muscle tissue and to compare the results when imaged at 0.25- and 0.5-mm isotropic resolutions.
View Article and Find Full Text PDFMult Scler Relat Disord
June 2025
Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Background And Objectives: White matter (WM) microstructural properties from advanced multishell diffusion MRI (dMRI) have been linked to clinical disability in multiple sclerosis (MS). This multicentre study used multishell dMRI to compute WM metrics and test for differences between people with MS (pwMS) and healthy controls (HCs).
Methods: We included multishell dMRI data from 251 pwMS or clinically isolated syndrome (CIS) (mean age 40.